Intelligent Systems and Machine Learning for Industry

Advancements, Challenges, and Practices

P. R Anisha, C. Kishor Kumar Reddy, Nhu Gia Nguyen, Megha Bhushan, Ashok Kumar, Marlia Mohd Hanafiah, P. R Anisha, C. Kishor Kumar Reddy, Nhu Gia Nguyen, Megha Bhushan, Ashok Kumar, Marlia Mohd Hanafiah

• Publisher: CRC Press
• Year: 2022
• ISBN:
  9781000828870
• Edition: 1
• Topic: Computer Science
• Subtopic: Computer Engineering
• Index: Computer Science

The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics.

Features:

• Highlights case studies and solutions to industrial problems using machine learning and intelligent systems.

• Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing.

• Provides the latest methodologies using machine intelligence systems in the early forecasting of weather.

• Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech.

• Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing.

• Discusses a systematic and exhaustive analysis of intelligent software effort estimation models.

It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Table of contents

• Cover
• Half-Title
• Series
• Title
• Copyright
• Contents
• Preface
• About the editors
• Contributors
• 1 A framework for a virtual reality-based medical support system
• 2 ConvMax: Classification of COVID-19, pneumonia, and normal lungs from X-ray images using CNN with modified max-pooling layer
• 3 Biorthogonal filter-based algorithm for denoising and segmentation of fundus images
• 4 Deep learning-based automatic detection of breast lesions on ultrasound images
• 5 Heart disease prediction using enhanced machine learning techniques
• 6 Immersive technologies in healthcare education
• 7 Implications of technological trends toward smart farming
• 8 A smart sensing technology for monitoring marine environment conditions
• 9 Managing agriculture pollution using life-cycle assessment and artificial intelligence methods
• 10 Ensemble techniques for effective prediction of crop selection in the Coastal Andhra deltaic region
• 11 Artificial intelligence-based quality inference for food processing industry applications
• 12 A study on intelligent systems and their influence on smarter defense service
• 13 Steam turbine controller using fuzzy logic
• 14 Speech recognition for Indian-accent English using a transformer model
• 15 Stock market prediction using sentiment analysis with LSTM and RFR
• 16 A systematic and exhaustive analysis of intelligent software effort estimation models
• Index